29 citations · 55 across the 7 of their papers we have counts for
Showing 2018 · cs.LGShow all
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cs.LG2018★ 2 cited
Using Multitask Learning to Improve 12-Lead Electrocardiogram Classification
J. Weston Hughes, Taylor Sittler, Anthony D. Joseph +3
We develop a multi-task convolutional neural network (CNN) to classify multiple diagnoses from 12-lead electrocardiograms (ECGs) using a dataset comprised of over 40,000 ECGs, with…
cs.LG2018★ 29 cited
DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction
Brandon Ballinger, Johnson Hsieh, Avesh Singh +8
We train and validate a semi-supervised, multi-task LSTM on 57,675 person-weeks of data from off-the-shelf wearable heart rate sensors, showing high accuracy at detecting multiple…